Data Product Owner

Posted 13 Days Ago
Be an Early Applicant
3 Locations
In-Office
40K-58K Annually
Senior level
Edtech
The Role
Own the roadmap, backlog, requirements, delivery, quality, governance, and adoption of publishing data products. Partner with stakeholders, analysts, product owners, data engineering, architecture teams, vendors, and technology providers to deliver reliable data warehouse tables, schemas, pipelines, and analytics capabilities. Translate business needs into Agile technical deliverables, coordinate releases, monitor data quality, and support informed decision-making across Wiley’s global Research business.
Summary Generated by Built In

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what’s next to power infinite possibilities for our customers, colleagues and society at large.

About the Role:

As a Data Product Owner at Wiley, you will play a key role in ensuring our Research business has access to high-quality publishing data that supports insights, analytics and informed decision-making.

Working within the Enterprise Data & Analytics function you will own the roadmap, prioritisation and delivery of publishing data products, covering areas such as manuscript submissions, peer review, bibliometrics, sales, usage and master data.


You will collaborate with business stakeholders, analysts, product owners and data engineering teams across our global organisation to translate business needs into clear technical requirements and deliver measurable value.


You will also work closely with the Director, Data Product, external partners and technology providers to improve data quality, strengthen data pipelines and ensure our data products continue to meet evolving business needs.


Job Responsibilities
  • Own and manage publishing data products, including the roadmap, prioritised backlog and delivery of data warehouse tables, schemas and pipelines, ensuring they support business objectives and deliver value.
  • Collaborate with business stakeholders, analysts, subject matter experts and product teams to understand data needs, define requirements and identify opportunities to improve publishing insights and decision-making.
  • Translate business needs into clear delivery requirements, including epics, user stories and priorities, working closely with data engineering and architecture teams to plan, coordinate and track delivery through Agile processes.
  • Monitor and improve data quality, ensuring the reliability and stability of production publishing data, identifying potential issues and proactively communicating changes, trends and impacts to stakeholders.
  • Support data governance and adoption, partnering with analytics product owners and business teams to improve the accessibility, consistency and effective use of publishing data across Wiley.
  • Engage with internal teams, technology partners and external vendors to anticipate changes to data sources and application programming interfaces (APIs), improve data pipelines and coordinate releases across wider product and technology roadmaps.

Required Qualifications
  • 5+ years of experience in a technology product management or product ownership role, including responsibility for product roadmaps, backlog prioritisation and delivery.
  • Demonstrated experience working with data products, data management or analytics solutions to deliver business value.
  • Strong SQL skills and experience working with structured data, data pipelines or enterprise data platforms.
  • Experience collaborating with data engineering, data architecture and analytics teams to translate business requirements into technical deliverables.
  • Practical experience applying Agile product management methodologies, including writing user stories, prioritising backlogs and participating in Agile ceremonies.
  • Experience engaging with stakeholders across different business functions, managing competing priorities and coordinating delivery across multiple projects.
  • Strong communication and stakeholder management skills, with the ability to explain technical concepts to both technical and non-technical audiences.

Preferred Qualifications
  • Experience working within academic publishing, scholarly communications or a related information services industry.
  • Familiarity with publishing workflows, platforms and data, including manuscript submissions, peer review, bibliometrics, sales or content usage.
  • Experience using Python for data analysis, automation or data processing.
  • Familiarity with AI agents and their application to data management or analytics workflows.
  • Experience working with external technology vendors, data providers or third-party integration partners.
  • Experience working within global, cross-functional or matrix organisations.

We power infinite possibilities.


For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing—creating impact that reaches everywhere. 


We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. 


Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. 
Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact [email protected] for assistance.


We are proud that our workplace promotes continual learning and internal mobility. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.
We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles in the United Kingdom, Canada, USA, Austria, Czechia, Denmark, France, Greece, Italy, Netherlands, Romania, or Spain. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.
When applying, please attach your resume/CV to be considered.

Salary Range:

40,200.00 GBP to 57,533.33 GBP #LI-JG2

Skills Required

  • 5+ years of experience in technology product management or product ownership, including product roadmaps, backlog prioritization, and delivery
  • Experience working with data products, data management, or analytics solutions to deliver business value
  • Strong SQL skills and experience with structured data, data pipelines, or enterprise data platforms
  • Experience collaborating with data engineering, data architecture, and analytics teams to translate business requirements into technical deliverables
  • Practical experience applying Agile product management methodologies, including writing user stories, prioritizing backlogs, and participating in Agile ceremonies
  • Experience engaging stakeholders across business functions, managing competing priorities, and coordinating delivery across multiple projects
  • Strong communication and stakeholder management skills, including explaining technical concepts to technical and non-technical audiences
  • Experience in academic publishing, scholarly communications, or a related information services industry
  • Familiarity with publishing workflows, platforms, and data, including manuscript submissions, peer review, bibliometrics, sales, or content usage
  • Experience using Python for data analysis, automation, or data processing
  • Familiarity with AI agents and their application to data management or analytics workflows
  • Experience working with external technology vendors, data providers, or third-party integration partners
  • Experience working within global, cross-functional, or matrix organizations
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The Company
HQ: Hoboken, NJ

What We Do

Learning House was founded in 2001 to aid small independent schools in building distance learning programs that serve the needs of

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